Mobirise Website Builder

Aaliya Bai

Data Analyst/Business Analyst well versed in Power BI, Microsoft Excel, Python and SQL.

About Me

I'm dedicated data analyst specializing in transforming complex data into actionable insights. My expertise includes SQL, Python, Power BI, Tableau, Excel and more. I excel at crafting compelling Power BI dashboards, ensuring high data quality, utilizing SQL for precise data extraction, and delivering data-driven solutions. I also use Python for advanced analytics, create insightful visualizations with Tableau, and leverage Excel for data manipulation.
Passionate about driving decision-making through data, I effectively communicate findings, collaborate with cross-functional teams, and implement machine learning models for predictive analytics. My ability to identify trends and patterns through statistical analysis helps solve complex business challenges and enhance overall business outcomes.

Personal Projects

Mobirise Website Builder
Employee Layoffs

This project aims to analyze employee layoffs across various industries using SQL.

Mobirise Website Builder
Telecom Customer Churn Analysis and Prediction

This project aims to develop a comprehensive churn analysis dashboard to provide insights into customer behaviour, identify potential churners, and inform targeted marketing strategies.

Mobirise Website Builder
Data Professional Survey Breakdown

This project analyzes a survey of data professionals, exploring job satisfaction, salary trends, language preferences, and entry challenges. Insights are visualized in Power BI for interactive exploration.

Mobirise Website Builder
COVID-19 Data Analysis 

This project analyzes COVID-19 data, including cases, deaths, and vaccinations, using SQL. It involves data cleaning, exploratory data analysis (EDA), and creating views for visualization.

Mobirise Website Builder
Patient Waiting List Management

This Power BI project focuses on the management and visualization of patient waiting lists within a healthcare facility. It aims to provide an efficient way to track patient appointment wait times, waiting list volume, and identify bottlenecks in service delivery.

Mobirise Website Builder
ML-Spam-Detection

This project implements a spam detection model using a Naive Bayes classifier. The model classifies email messages as spam or ham (not spam) based on text features extracted using TF-DF vectorization

Contacts

Phone

+44 7717258358
+91 6235655552

Email

aaliyabais9@gmail.com

Address

Manchester, United Kingdom

HTML Website Maker